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2012.03583
Cited By
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
7 December 2020
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
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Papers citing
"Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology"
40 / 40 papers shown
Title
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
Yicheng Song
Tiancheng Lin
Die Peng
Su Yang
Yi Xu
MedIm
31
0
0
10 May 2025
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov
Loic Le Folgoc
Julien Adam
Anne Buronfosse
Gilles Hayem
Guillaume Hocquet
Pietro Gori
SSL
45
0
0
02 May 2025
On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image Classification
Max Riffi-Aslett
Christina Fell
VLM
77
0
0
15 Dec 2024
Phikon-v2, A large and public feature extractor for biomarker prediction
Alexandre Filiot
Paul Jacob
Alice Mac Kain
Charlie Saillard
MedIm
39
17
0
13 Sep 2024
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
Yunlong Zhang
Zhongyi Shui
Yunxuan Sun
Honglin Li
Jingxiong Li
Chenglu Zhu
Lin Yang
31
0
0
18 Jun 2024
Towards Large-Scale Training of Pathology Foundation Models
kaiko.ai
N. Aben
Edwin D. de Jong
Ioannis Gatopoulos
Nicolas Kanzig
Mikhail Karasikov
Axel Lagré
Roman Moser
J. Doorn
Fei Tang
MedIm
AI4CE
37
9
0
24 Mar 2024
Towards Efficient Information Fusion: Concentric Dual Fusion Attention Based Multiple Instance Learning for Whole Slide Images
Yujian Liu
Ruoxuan Wu
Xinjie Shen
Zihuang Lu
Lingyu Liang
Haiyu Zhou
Shipu Xu
Shaoai Cai
Shidang Xu
MedIm
35
0
0
21 Mar 2024
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
Yunlong Zhang
Honglin Li
Yuxuan Sun
Sunyi Zheng
Chenglu Zhu
Lin Yang
19
27
0
13 Nov 2023
Virchow: A Million-Slide Digital Pathology Foundation Model
Eugene Vorontsov
Alican Bozkurt
Adam Casson
George Shaikovski
Michal Zelechowski
...
Razik Yousfi
Christopher Kanan
David Klimstra
B. Rothrock
Thomas J. Fuchs
MedIm
13
82
0
14 Sep 2023
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen
Tong Ding
Ming Y. Lu
Drew F. K. Williamson
Guillaume Jaume
...
Judy J. Wang
Walt Williams
L. Le
Georg Gerber
Faisal Mahmood
MedIm
20
42
0
29 Aug 2023
SLPD: Slide-level Prototypical Distillation for WSIs
Zhimiao Yu
Tiancheng Lin
Yi Xu
22
6
0
20 Jul 2023
LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening
Beidi Zhao
Wenlong Deng
Zi Han Li
Li
Chen Zhou
Zuhua Gao
Gang Wang
Xiaoxiao Li
25
0
0
06 Jun 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang
B. Wessler
M. C. Hughes
22
3
0
25 May 2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Ruining Deng
Can Cui
Lucas W. Remedios
Shunxing Bao
R. M. Womick
...
Keith T. Wilson
Yaohong Wang
Lori A. Coburn
Bennett A. Landman
Yuankai Huo
19
8
0
01 Apr 2023
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles
Mehdi Naouar
Gabriel Kalweit
Ignacio Mastroleo
P. Poxleitner
M. Metzger
Joschka Boedecker
M. Kalweit
12
1
0
29 Mar 2023
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Hao Wang
E. Ahn
Jinman Kim
28
8
0
20 Mar 2023
Giga-SSL: Self-Supervised Learning for Gigapixel Images
Tristan Lazard
Marvin Lerousseau
Etienne Decencière
Thomas Walter
20
17
0
06 Dec 2022
Iterative Patch Selection for High-Resolution Image Recognition
Benjamin Bergner
C. Lippert
Aravindh Mahendran
18
12
0
24 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
SSL
28
24
0
17 Oct 2022
Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning
Jonathan Scott
Michelle Yeo
Christoph H. Lampert
FedML
19
0
0
12 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
38
142
0
10 Oct 2022
HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning
Joseph DiPalma
Lorenzo Torresani
Saeed Hassanpour
AI4TS
MedIm
22
2
0
13 Sep 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
20
56
0
18 Aug 2022
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images
Ruining Deng
C. Cui
Lucas W. Remedios
Shunxing Bao
R. M. Womick
...
K. Wilson
Yao Wang
Lori A. Coburn
Bennett A. Landman
Yuankai Huo
26
10
0
15 Aug 2022
Scale dependant layer for self-supervised nuclei encoding
Peter Naylor
Yao-Hung Hubert Tsai
Marick Laé
Makoto Yamada
SSL
28
0
0
22 Jul 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Richard J. Chen
Chengkuan Chen
Yicong Li
Tiffany Y. Chen
A. Trister
Rahul G. Krishnan
Faisal Mahmood
ViT
MedIm
34
406
0
06 Jun 2022
Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners
Hao Quan
Xingyu Li
Weixing Chen
Qun Bai
Mingchen Zou
Ruijie Yang
Tingting Zheng
R. Qi
Xin Gao
Xiaoyu Cui
MedIm
31
19
0
18 May 2022
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides
A. Quiros
N. Coudray
A. Yeaton
Xinyu Yang
Bojing Liu
...
H. Pass
A. Moreira
J. L. Quesne
A. Tsirigos
Ke-Fei Yuan
SSL
13
5
0
04 May 2022
End-to-end Multiple Instance Learning with Gradient Accumulation
Axel Andersson
N. Koriakina
Natavsa Sladoje
Joakim Lindblad
13
6
0
08 Mar 2022
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Richard J. Chen
Rahul G. Krishnan
MedIm
ViT
30
84
0
01 Mar 2022
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model
Xingyu Li
M. Cen
Jinfeng Xu
Hong Zhang
Xuesong Xu
MedIm
19
28
0
03 Jan 2022
Magnifying Networks for Images with Billions of Pixels
Neofytos Dimitriou
Ognjen Arandjelovic
16
2
0
12 Dec 2021
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications
Karin Stacke
Jonas Unger
Claes Lundström
Gabriel Eilertsen
OOD
SSL
21
25
0
10 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Percy Liang
OOD
16
97
0
09 Dec 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
21
29
0
27 Oct 2021
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need
Yoni Schirris
Mendel Engelaer
Andreas Panteli
H. Horlings
E. Gavves
Jonas Teuwen
14
6
0
13 Sep 2021
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
32
39
0
13 Sep 2021
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling
Jonas Dippel
Steffen Vogler
Johannes Höhne
40
21
0
09 Apr 2021
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning
Bin Li
Yin Li
K. Eliceiri
9
587
0
17 Nov 2020
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
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